System and method for consensus-based knowledge validation, analysis and collaboration

• US 7,630,867 B2
• Filed: 09/01/2005
• Issued: 12/08/2009
• Est. Priority Date: 09/01/2004
• Status: Active Grant

• Current Assignee: Nytell Software LLC (Intellectual Ventures LLC)
• Original Assignee: Telcordia Licensing Co LLC (Telefonaktiebolaget LM Ericsson)
• Inventors: Behrens, Clifford A., Shim, Hyong-sop
• Primary Examiner(s): PHAN, THAI Q
• Application Number:
  US11/218,015
• Publication Number:
  US 20070239405A1
• Time in Patent Office: 1,559 Days
• Field of Search: 703/2, 702/179, 702/186, 702/188
• US Class Current: 703/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

A consensus-based knowledge validation and analysis system provides a way to increase use of collaboration tools among panels of experts by providing a system for analyzing and validating the responses of such experts to a set of questions. The system uses a set of response data input by a panel of experts with respect to a particular subject matter formatted in accordance with a data model as input. The response data set is used to estimate an empirical point estimate matrix indicative of the amount of agreement in the responses on all items between the panelists. The empirical point estimate matrix is used to estimate the saliency of the subject matter to panelists, the competency of each panelist and a consensus model of correct answers is based on the estimated competency of each panelist and the of responses for each item in the response data set. This consensus model is used to generate a knowledge map to aid visualization of the consensus data and encourage further collaboration and consensus building. The method is implemented in a web-based system that enables users of collaboration tools to send response data sets to the tool via the Internet or virtual private network and to likewise retrieve knowledge maps, panelist information and consensus data. An interactive feature enables users/panelists to collaborate with other panelists using the knowledge map as an interface to one or more collaboration tools such as instant messaging.

Claims

1. A method for consensus-based validation and analysis of response data gathered from a plurality of panelists in response to a plurality of items regarding a subject matter, the method comprising:

a host device collecting a set of response data from the plurality of panelists for the plurality of items;

the host device formatting the set of response data from the plurality of panelists into a response data matrix in accordance with a predetermined data model;

the host device estimating from the response data matrix an empirical point estimate matrix indicative of the amount of agreement in the set of response data on the plurality of items between two or more panelists;

the host device determining a saliency of the subject matter to the plurality of panelists;

the host device estimating a competency of the plurality of panelists based on the empirical point estimate matrix; and

,

the host device computing a consensus model of correct answers based on the estimated competency of the plurality of panelists and the set of response data for the plurality of items.

2. The method of claim 1 further comprising the host device developing a knowledge map from the consensus model.

3. The method of claim 2 further comprising the host device displaying the knowledge map and information about the plurality of panelists on a display.

4. The method of claim 1 wherein collecting the set of response data from the plurality of panelists is performed using at least one collaborative modeling tool.

5. The method of claim 1 wherein the host device estimating from the response data matrix the empirical point estimate matrix, M*_ij, indicative of the amount of agreement in the set of response data on the plurality of items between two or more panelists are concordance correlation coefficients given by:

6. The method of claim 1 wherein the host device estimating the competency of the plurality of panelists based on the empirical point estimate matrix results in matrix D*_i.

7. The method of claim 1 wherein the host device computing the consensus model of correct answers based on the estimated competency of the plurality of panelists and the set of response data for the plurality of items is performed by calculating the weighted average of the set of response data to item k by panelist i, and, D*_i, is the estimate of competence of the panelist i in accordance with the following algorithm:

8. The method of claim 2 further comprising the host device enabling collaboration between the plurality of panelists using the knowledge map as an interface to one or more collaboration tools.

9. A method for consensus-based validation and analysis of one or more sets of response data gathered from a plurality of panelists in response to a plurality of items regarding a subject matter using at least one collaborative modeling tool, the method comprising:

a host device formatting at least one of the one or more sets of response data and inputting the at least one of the one or more sets of response data from the collaborative modeling tool into a response data matrix in accordance with a predetermined data model;

the host device estimating from the response data matrix an empirical point estimate matrix indicative of an amount of agreement in responses on the plurality of items between two or more panelists;

the host device determining a saliency of the subject matter to the plurality of panelists;

the host device estimating a competency for the plurality of panelists based on the empirical point estimate matrix; and

,

the host device computing a consensus model of correct answers based on the estimated competency of the plurality of panelists and responses for the plurality of items.

10. The method of claim 9 further comprising the host device developing a knowledge map from the consensus model.

11. The method of claim 10 further comprising the host device providing the knowledge map and information about the plurality of panelists for display.

12. The method of claim 10 further comprising the host device providing an interface to the plurality of panelists through the knowledge map.

13. The method of claim 12 wherein the host device providing the interface further comprises enabling access to one or more collaboration tools through the knowledge map.

14. The method of claim 13 wherein the host device enabling is accomplished by launching an instant messaging session.

15. A system for the validation and analysis of knowledge from a set of response data collected from a plurality of panelists regarding a subject matter using a collaborative modeling tool, the system comprising:

means for formatting the set of response data from the collaborative modeling tool into a response data matrix in accordance with a predetermined data model;

means for estimating from the response data matrix an empirical point estimate matrix indicative of an amount of agreement in the set of response data on the plurality of items between the plurality of panelists;

means for determining a saliency of the subject matter to the plurality of panelists;

means for estimating a competency of the plurality of panelists based on the empirical point estimate matrix; and

,

means for computing a consensus model of correct answers based on the estimated competency of the plurality of panelists and the set of response data for the plurality of items.

16. The system of claim 15 further comprising means for developing a knowledge map from the consensus model.

17. The system of claim 16 further comprising means for displaying the knowledge map and information about the plurality of panelists.

18. The system of claim 15 wherein the means for estimating the empirical point estimate matrix, the means for estimating the competency of the plurality of panelists and the means for computing the consensus model are implemented in software developed in accordance with R programming language.

19. A method to compare a plurality of knowledge maps derived from a consensus model generated from a set of response data collected from a plurality of panelists using a collaborative modeling tool over a period of time, the method comprising:

a host device inputting a first set of response data from the plurality of panelists using a collaborative modeling tool at a first time;

the host device computing a first consensus model from the first set of response data;

the host device developing a first knowledge map from the first consensus model;

the host device inputting a second set of response data from the plurality of panelists using the collaborative modeling tool at a second time, wherein the second time is different than the first time;

the host device computing a second consensus model from the second set of response data;

the host device developing a second knowledge map from the second consensus model;

the host device performing a procrustes analysis of the second knowledge map against the first knowledge map to generate a realigned second knowledge map;

the host device enabling display of the first knowledge map and second realigned knowledge maps.

20. The method of claim 19 wherein the method further comprises the host device calculating a compactness metric indicative of an overall knowledge variability between the plurality of panelists.

21. The method of claim 20 wherein the host device performing the procrustes analysis further comprises:

the host device rotating coordinates in the second knowledge map;

the host device calculating a residual sum of squared differences between the coordinates in Euclidean multivariate space; and

,

the host device deriving a correlation-like statistic from the residual sum until the correlation-like statistic approaches one.

22. The method of claim 19 further comprising:

the host device enabling display of a scatter plot of the first and second knowledge maps;

the host device enabling display of a plot showing movement of the plurality of panelists between the first knowledge map and second knowledge map.

23. The method of claim 19 further comprising:

enabling the plurality of panelists to communicate by selecting an identifier in the knowledge map, scatter plot or plot showing movement of the plurality of panelists where the identifier is associated with one of the plurality of panelists.

24. The method of claim 23 wherein the host device enabling the plurality of panelists to communicate further comprises presenting the plurality of panelists with a graphical user interface to one or more collaboration tools when an identifier is selected.

25. A method of knowledge-based collaboration comprising:

a host device deriving a knowledge map from a set of response data collected from a plurality of panelists in response to a plurality of items regarding a subject matter the knowledge map comprising a graphical display of a comparison of responses of the plurality of panelists;

the host device presenting the knowledge map to one or more of the plurality of panelists;

the host device enabling a first panelist from the plurality of panelists to initiate communication with a second panelist from the plurality of panelists by facilitating a selection of an identifier associated with the second panelist on the knowledge map.

26. The method of claim 25 wherein the host device enabling further comprises presenting the plurality of panelists with a graphical user interface to one or more collaboration tools after the identifier is selected.

27. The method of claim 26 wherein the collaboration tool is an instant messaging system.

28. The method of claim 25, wherein the plurality of panelists are at least compared in terms of estimated competencies and relative differences in the domain knowledge of the plurality of panelists.

30. The system of claim 28, wherein the application is further configured to receive requests to retrieve the results of the script.

31. The system of claim 28, wherein the results of the script comprise at least profiles for the plurality of panelists including competency measurements and knowledge domains including consensus values computed for an instrument.

32. The system of claim 28, wherein the statistical programming element is further configured to derive a knowledge map comprising a graphical display comparing the plurality of panelists based on at least the estimated competencies of and relative differences between the plurality of panelists.

34. The tangible computer readable medium of claim 32 having instructions stored thereon, that if executed by a device, cause the device to perform a method, the method further comprising developing a knowledge map from the consensus model.

35. The tangible computer readable medium of claim 32 having instructions stored thereon, that if executed by a device, cause the device to perform a method, the method further comprising providing the knowledge map and information about the plurality of panelists for display.

36. The tangible computer readable medium of claim 32 having instructions stored thereon, that if executed by a device, cause the device to perform a method, the method further comprising providing an interface to the plurality of panelists through the knowledge map.

37. The tangible computer readable medium of claim 35 having instructions stored thereon, that if executed by a device, cause the device to perform a method, wherein providing the interface further comprises enabling access to one or more collaboration tools through the knowledge map.

38. The tangible computer readable medium of claim 36 having instructions stored thereon, that if executed by a device, cause the device to perform a method, wherein enabling is accomplished by launching an instant messaging session.

40. The method of claim 38, wherein the applet executing further comprises providing an interface to the plurality of panelists through the knowledge map.

42. The method of claim 40, wherein enabling is accomplished by launching an instant messaging session.

29. A system for the validation and analysis of knowledge from a set of response data collected from a plurality of panelists regarding a subject matter using a collaborative modeling tool, the system comprising:

a computing system;

an application implemented on the computing system configured to collect a set of response data from a plurality of panelists from a plurality of client modeling tools through a communication link with a plurality of client hosts;

a statistical programming element implemented on the application comprising at least one script configured to;

format the set of response data and input the set of response data into a response data matrix in accordance with a predetermined data model;

estimate from the response data matrix an empirical point estimate matrix indicative of an amount of agreement in responses on the plurality of items between two or more panelists;

determine a saliency of the subject matter to the plurality of panelists;

estimate a competency for the plurality of panelists based on the empirical point estimate matrix; and

compute a consensus model of correct answers based on the estimated competency of the plurality of panelists and responses for the plurality of items;

a database configured to store results of the script.

33. A tangible computer readable medium having instructions stored thereon, that if executed by a device, cause the device to perform a method for consensus-based validation and analysis of response data gathered from a plurality of panelists in response to a plurality of items regarding a subject matter, the method comprising:

collecting a set of response data from the plurality of panelists for the plurality of items;

formatting the response data from the plurality of panelists into a response data matrix in accordance with a predetermined data model;

estimating from the response data matrix an empirical point estimate matrix indicative of the amount of agreement in the set of response data on the plurality of items between two or more panelists;

determining a saliency of the subject matter to the plurality of panelists;

estimating a competency of the plurality of panelists based on the empirical point estimate matrix; and

computing a consensus model of correct answers based on the estimated competency of the plurality of panelists and the set of response data for the plurality of items.

39. A method for providing consensus-based validation and analysis of response data gathered from a plurality of panelists in response to a plurality of items regarding a subject matter in web service definition language, the method comprising:

receiving a set of response data from a plurality of client modeling tools operating on a plurality of remote client hosts at a server host;

providing an applet including a statistical programming element implemented on the server host comprising at least one script configured to;

format the set of response data and input the set of response data into a response data matrix in accordance with a predetermined data model;

estimate from the response data matrix an empirical point estimate matrix indicative of an amount of agreement in responses on the plurality of items between two or more panelists;

determine a saliency of the subject matter to the plurality of panelists;

estimate a competency for the plurality of panelists based on the empirical point estimate matrix; and

compute a consensus model of correct answers based on the estimated competency of the plurality of panelists and responses for the plurality of items;

storing results of the at least one script on a database;

the applet executing in conjunction with a graphic interface web browser adapted to present through the graphic interface web browser a knowledge map comprising a graphical display comparing the plurality of panelists based on at least the estimated competencies of and relative differences between the plurality of panelists.

41. The method of claim 39, wherein providing the interface further comprises enabling access to one or more collaboration tools through the knowledge map.